WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models

Cited by (247)

Items 101–200 of 247

1. Investigating the Use of Terrain‐Following Coordinates in AI‐Driven Precipitation Forecasts
   Yingkai Sha, John S. Schreck, William Eric Chapman, David John Gagne · 2025 · Geophysical Research Letters
2. Global performance benchmarking of artificial intelligence models in atmospheric river forecasting
   Lujia Zhang, Mengqian Lu, Qing Bao, Yang Zhao, Jing Yang · 2025 · Communications Earth & Environment
3. AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions
   Väinö Hatanpää, Eugene Ku, Jason Stock, Murali Krishna Emani, Sam Foreman, Chunyong Jung, Sandeep Madireddy, Tung Nguyen, Varuni Katti Sastry, Ray A. O. Sinurat et al. · 2025 · International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
4. A New Framework for Medium- to Long-Term PM 2.5 Predictions Using AI-Based High-Resolution Meteorological Forecasts
   Haonan Gu, Yichao Xu, Hua Pan, Yao Shi, Chunlei Wei, Xiaoyong Cao, Yi He · 2025 · Chem & Bio Engineering
5. Comparing Synoptic Pattern Evolution for Flash‐Flood‐Producing and Non‐Flash‐Flood‐Producing Mesoscale Convective Systems in the United States
   Wenjun Cui, Zhanxiang Hua, Thomas J. Galarneau, Zhe Feng, Alexandra K. Anderson-Frey · 2026 · Geophysical Research Letters
6. Physics‐Based Versus AI Weather Prediction Models: A Comparative Performance Assessment of Atmospheric River Prediction
   Isaac Davis, Aneesh C. Subramanian, Timothy B. Higgins, Agniv Sengupta, Luca Delle Monache · 2026 · Geophysical Research Letters
7. Data-driven forecasts of extreme weather in East Asia: feasibility of operational use
   Seok-Geun Oh, Young-Jun Bae, Seok‐Woo Son, Dong‐Chan Hong, Joon-Yong Kim, Yelim Kim, Hyunsuk Yoon, Jin‐Ho Yoon, Jee‐Hoon Jeong, Hyungjun Kim et al. · 2026 · Weather and Climate Extremes
8. Hierarchical Testing of a Hybrid Machine Learning‐Physics Global Atmosphere Model
   Ziming Chen, Lai-Yung Ruby Leung, Wenyu Zhou, Jian Lu, Sandro Wellyanto Lubis, Ye Liu, Chuan-Chieh Chang, Bryce E. Harrop, Ya Wang, M. M. Yang et al. · 2026 · AGU Advances
9. Improving renewable energy forecasting with FuXi-Energy
   Xiaohui Zhong, Lei Chen, Hao Li, Xu Fan, Wenxu Qian, Jun Liu, Enwang Luo, Libo Wu · 2026 · Applied Energy
10. A spectral test of the butterfly effect and physical consistency in the diffusion-based GenCast’s ensembles
    Hisu Kim, Jihun Ryu, Seok‐Woo Son, Jee‐Hoon Jeong, Hyungjun Kim, Jin‐Ho Yoon · 2026 · npj Climate and Atmospheric Science
11. Swift: an autoregressive consistency model for efficient weather forecasting
    Jonathan G. Stock, Troy Arcomano, Veerabhadra Rao Kotamarthi · 2026 · Machine Learning Earth
12. GrINd: Grid Interpolation Network for Scattered Observations
    Andrzej Dulny, Paul Heinisch, Andreas Hotho A, Anna Krause · 2024 · Lecture notes in computer science
13. Efficient Subseasonal Weather Forecast Using Teleconnection-Informed Transformers
    Zhao Shan, Zhitong Xiong, Xiao Xiang Zhu · 2024 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
14. A Comparative Sensitivity Analysis of Loss Functions in Machine Learning-Based Weather Forecasting
    Aaron Van Poecke, Lukas Meuris, Matteo Cisneros, Michiel Van Ginderachter, Peter Hellinckx, Hossein Tabari · 2024 · Lecture notes on data engineering and communications technologies
15. A Skillful Prediction of Monsoon Intraseasonal Oscillation Using Deep Learning
    K. M. Anirudh, Prasang Raj, S. Sandeep, Hariprasad Kodamana, C. T. Sabeerali · 2025 · Journal of Geophysical Research Machine Learning and Computation
16. FuXi-Extreme: 利用扩散模型改进极端降雨和风速预报
    晓辉 仲, 磊 陈, 俊 刘, 晨森 林, 远 漆, 昊 李 · 2024 · SCIENTIA SINICA Terrae
17. A Big Chill: Examining an Extremely Sharp Cold Front from Three Perspectives
    Russ S. Schumacher, Alexandra C. Mazurek, Charles M. Davis, Megan Elizabeth Franke, Mitchell Gregg · 2025 · Monthly Weather Review
18. GDOSphere: A spherical graph neural network framework with neural operators for weather forecasting
    Zhewen Xu, Baoxiang Pan, Xiaohui Wei, Hongliang Li, Dongyuan Tian, Zijian Li · 2025 · Physica A Statistical Mechanics and its Applications
19. A Fine‐Tuned Pangu Weather Model and Its Performance Based on an Operational Framework in South China
    XIA Xin, Yan Gao, Chao Lu, Weiwei Wang, Yuan Li, Qilin Wan, Chao Li, Chao Zhang, Huiqi You, Xunlai Chen · 2025 · Meteorological Applications
20. Improving predictions of convective storm wind gusts through statistical post-processing of neural weather models
    Antoine Leclerc, Erwan Koch, Monika Feldmann, Daniele Nerini, Tom Beucler · 2025 · npj natural hazards.
21. Exploring the Atmospheric Responses to Arctic Sea‐Ice Loss in Google's NeuralGCM
    Yu‐Chiao Liang, Nicholas J. Lutsko, Young‐Oh Kwon · 2025 · Journal of Advances in Modeling Earth Systems
22. Can data-driven weather models accurately forecast atmospheric rivers?
    Ferran López-Martí, Leonardo Olivetti, Sara M. Vallejo‐Bernal, Anna Rutgersson, Gabriele Messori · 2025 · Environmental Research Letters
23. Whose weather is it? A fairness framework for data-driven weather forecasting
    Leonardo Olivetti, Gabriele Messori · 2025 · Environmental Research Letters
24. Understanding machine learning weather prediction by designing a cost-efficient model with knowledge-oriented modules
    Minjong Cheon, Jeong-Hwan Kim, Yumi Choi, Yo-Hwan Choi, Seon-Yu Kang, Jeong‐Gil Lee, Yoo‐Geun Ham, Jin Young Kim, Daehyun Kang · 2025 · Scientific Reports
25. Operational Convection‐Permitting COSMO / ICON Ensemble Predictions at Observation Sites ( CIENS )
    Sebastian Lerch, Benedikt Schulz, Reinhold Hess, Annette Möller, Cristina Primo, S. Trepte, Susanne Theis · 2025 · Geoscience Data Journal
26. FANO: Fourier Advection Neural Operator for Weather Prediction
    Kenghong Lin, Huiwei Lin, Baoquan Zhang, Yangjinxi Ge, Dong Liu, Xutao Li, Yunming Ye, Chuyao Luo · 2026 · IEEE Transactions on Geoscience and Remote Sensing
27. A python framework for differentiable hydrological modeling and research workflow automation
    Wenyu Ouyang, Shuolong Xu, Yikai Chai, Laihong Zhuang, Zhihong Liu, Lei Ye, Xinzhuo Wu, Yong Peng, Chi Zhang · 2026 · Environmental Modelling & Software
28. Artificial Intelligence-Driven Weather Forecasting: A Deep Learning Foundation Model with Physics-Informed Attention for High-Resolution Meteorological Prediction
    Jiedi Chen · 2025 · International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)
29. FogCast : Probabilistic medium‐range fog forecasting using global machine‐learning weather prediction model
    Prasad Deshpande, Shubhangi Agarwal, Kritika Bansal, Arnab Bhattacharya, Shivam Tripathi · 2026 · Quarterly Journal of the Royal Meteorological Society
30. A hybrid framework for global weather forecasting via low-resolution dynamical core and multigrid neural operator
    Yifan HU, Fukang Yin, Weimin Zhang, Kaijun Ren, Junqiang Song, Kefeng Deng · 2026 · npj Climate and Atmospheric Science
31. Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
    Giovanni De Cillis, Alberto Carrassi, Julien Brajard, Laurent Bertino, M. Broccoli, D. Iovino, Tobias Sebastian Finn, Marc Bocquet · 2026 · Quarterly Journal of the Royal Meteorological Society
32. Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models
    Wen Shi, Baoxiang Pan, J Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo · 2026 · Journal of Geophysical Research Machine Learning and Computation
33. Intercomparison of AI forecasts and numerical weather predictions for the July 2021 extreme precipitation event in Henan, China
    Qiang Li, Tongtiegang Zhao · 2026 · Stochastic Environmental Research and Risk Assessment
34. ClimateBenchPress (v1.0): a benchmark for lossy compression of climate data
    Tim Reichelt, Juniper Tyree, Milan Klöwer, Peter Dominik Dueben, Bryan Lawrence, Allison H. Baker, Sara Faghih-Naini, Torsten Hoefler, Philip Stier · 2026 · Geoscientific model development
35. MAUSAM: An Observations‐Focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon
    Aman Gupta, Aditi Sheshadri, Dhruv Suri · 2026 · Journal of Advances in Modeling Earth Systems
36. Polycentric Morphology and Urban Resilience: AI-Based Assessment of Infrastructure Vulnerabilities in Colombo, Sri Lanka
    Nilantha Randeniya, Amila Buddhika Jayasinghe · 2026 · Applied Spatial Analysis and Policy
37. Diagnosing Forecast Error Propagation and Large‐Scale Dynamics of Weather Extremes With an AI Weather Model
    Yanbo Nie, Agniv Sengupta, Jorge Baño‐Medina, B. Moore, Luca Delle Monache · 2026 · Geophysical Research Letters
38. Clustering of Right‐Moving Tornadic Supercell Proximity Sounding Profiles Using an Explainable Framework
    Zhanxiang Hua, Alexandra K. Anderson-Frey, Qin Jiang, Matthew C. Brown · 2026 · Journal of Geophysical Research Atmospheres
39. 2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction
    Patrick Ebel, Rochelle Schneider, Massimo Bonavita, Mariana Clare, Anna Jungbluth, Maryam Pourshamsi, Matthew Chantry, Mihai Alexe, Alessandro Sebastianelli, Marcin Chrust · 2024 · npj Climate and Atmospheric Science
40. Enforcing Equity in Neural Climate Emulators
    William Yik, Sam James Silva · 2025 · Geophysical Research Letters
41. Topic: Mobility as Climate Change Adaptation in South Africa: Exploring the legal and policy significance of Artificial Intelligence.
    Temitope Ayomikum Obisanya, Ademola Oluborode Jegede · 2025
42. On Scientific Foundation Models:Rigorous Definitions, Key Applications, and a Survey
    Sidharth S. Menon, Trishit Mondal, Shuvayan Brahmachary, A. Panda, Subodh M. Joshi, Kaushic Kalyanaraman, Ameya D. Jagtap · 2025 · SSRN Electronic Journal
43. Performance of a Fine-Tuned Panguweather Model Based on an Operational Framework in South China
    XIA Xin, Yan Gao, Chao Lü, Weiwei Wang, Yuan Li, Chao Li, Chao Zhang, Huiqi You, Xunlai Chen · 2024 · SSRN Electronic Journal
44. Comment on egusphere-2024-1042
    Leonardo Olivetti, Gabriele Messori · 2024
45. Reply on CEC1
    Deifilia To · 2024
46. Reply on AC2
    2024
47. Efficient Fine-Tuning of 37-Level GraphCast with the Canadian Global Deterministic Analysis
    Christopher J. Subich · 2025 · Artificial Intelligence for the Earth Systems
48. 基于人工智能大模型改进全球天气和海浪预报
    丰华 零, 阳霖 欧, Redouane Larbi Boufeniza, 京佳 罗, 滔 韩, 晓辉 仲, 磊 白 · 2024 · SCIENTIA SINICA Terrae
49. Enhanced Lightning Nowcasting Utilizing Multisource Data Within a Transfer Learning Framework
    Lei Chen, Yu Ting Wang, Fengquan Li, Ze Liu · 2025 · Lecture notes in electrical engineering
50. Likelihood-Weighted Active Selection of Training Data for Improved Extreme Weather Event Prediction in Climate Models
    Bianca Champenois, Themistoklis P. Sapsis · 2025 · SSRN Electronic Journal
51. Harnessing dynamic graph differential operators for efficient data-driven wind prediction
    Xiaohui Wei, Zhewen Xu, Hongliang Li, Jieyun Hao, Hengshan Yue, Changzheng Liu · 2025 · GeoInformatica
52. LWMEval: Evaluating Large-Scale Neural Networks for Six-Hour Weather Nowcasting
    Chaochong Zhang, Guohang Peng, Ru-Xue Li, Qingsong Zou · 2025 · Lecture notes in computer science
53. Evaluating statistical consistency for the ocean component of earth system models using physics informed convolutional autoencoder
    Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Dexun Chen, Yishuai Jin, Yang Gao, Xiaopei Lin, Zhao Liu, Xiaojing Lv, Yunlong Fei et al. · 2025 · Scientific Reports
54. Subseasonal to Seasonal (S2S) Prediction Algorithms Using Hybrid Machine Learning Techniques
    Hee–Seung Kim, Shanglin Zhou, Adam Bienkowski, Krishna Rao Pattipati · 2025 · Artificial Intelligence for the Earth Systems
55. TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education
    Jannik Wilhelm, Julian Quinting, Mareike Burba, Stefanie Hollborn, Uwe Ehret, I. Pena Sánchez, Sebastian Lerch, J. Meyer, Barbara Verfürth, Peter Knippertz · 2025 · Journal of Advances in Modeling Earth Systems
56. Data-Driven Water Resources Modeling: A Case Study of the Jucar Hydrographic Confederation
    Alejandro Garcia Monteagudo, Marina Arnaldos, Miguel Ángel Pardo Picazo · 2025 · SSRN Electronic Journal
57. Bias correction of seasonal precipitation prediction in Southern China: Pointwise and spatial corrections using deep learning methods
    Anran Wang, Shouwen Zhang, Hua Jiang, Hui Wang · 2025 · Journal of Hydrology Regional Studies
58. Minimal Convolutional RNNs Accelerate Spatiotemporal Learning
    Coşku Can Horuz, Sebastian Otte, Martin V. Butz, Matthias Karlbauer · 2025 · Lecture notes in computer science
59. DIN: Dynamical Interaction Network for Multi-station Multi-variable Weather Prediction
    Chujie Xu, Yinkai Liu, Yajun Gao, Xiaotong Zhu, Y. Wang, Yong Han, Yan Ling Wu · 2025 · Communications in computer and information science
60. A light multimodal neural network for tropical cyclone path prediction with single time step
    Xiaoxian Tian, Lu Yang, Chongke Bi, Ce Yu · 2025 · Journal of Visualization
61. What are the most informative data points for predicting extreme events?
    Bianca Champenois, Themistoklis P. Sapsis · 2025 · Nonlinear Dynamics
62. HiHa: Introducing hierarchical harmonic decomposition to implicit neural compression for atmospheric data
    Zhewen Xu, Baoxiang Pan, Xiaohui Wei, Hongliang Li, Dongyuan Tian, Zijian Li, Changzheng Liu · 2025 · Computers & Geosciences
63. Weather forecasting: what sets the forecast skill horizon?
    Zoltan Toth, Roberto Buizza, Jie Feng · 2025 · Elsevier eBooks
64. IsoSim: A Long-term Benchmark Dataset for Water Isotope Emulation in Global Climate Models
    Zhili Li, Qi Cheng, Ruohan Li, Feng Zhu, Xiaowei Jia, Yiqun Xie · 2025 · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)
65. A fully convolutional neural network to interpolate solar irradiation NWP ensemble forecasts
    Matthias Zech, Annette Hammer, Lueder von Bremen · 2025 · Solar Energy
66. The Benchmarking Epistemology: Validity Theory for Evaluating Machine Learning Models
    Timo Freiesleben, Sebastian Zezulka · 2026 · Philosophy of Science
67. A Frequency Decomposition-Based Graph Neural Network for Predicting the Dynamic Response of Train-Bridge Coupled Systems
    Ping Xiang, Xuan Peng, Denggao Chen, Zhiyuan Zhou, Zihe Wang, Zefeng Liu, Yufei Chen, Zhanjun Shao, Xiaonan Xie, Peng Zhang · 2025 · SSRN Electronic Journal
68. Assessing machine-learning-based weather forcing in significant wave height prediction
    Fuuki Ogawa, Tomoki SHIRAI, Tatsumi Harada, Masashi Tanaka, Yurie ITAGAKI, Taro ARIKAWA, Tomoya SHIBAYAMA · 2026 · Geoscience Letters
69. Error in ERA5 2‐m temperature identified using GraphCast
    Hannah M. Christensen, Jack Barker, Bobby Antonio, Massimo Bonavita, Mohamed Dahoui, Patricia de Rosnay · 2026 · Quarterly Journal of the Royal Meteorological Society
70. Enhancing Regional Machine Learning Weather Prediction Using Tailored Loss Functions and High-Resolution RRJ-ClimCORE Reanalysis
    Hiroki Ikeuchi, Tsuyoshi Thomas Sekiyama, Takafumi Miyasaka, Kenichi Kuma, Hisashi Nakamura · 2026 · SOLA
71. Fine-Tuning FuXi with CMA’s Reanalysis Data to Improve Forecasting
    Z. Y. Zhang, Wei Han, Lei Chen, Hao Li, Lipeng Jiang, Bin Zhao · 2025 · 气象学报：英文版
72. Ensemble Experiments in an AI-NWP Coupled Framework: A Typhoon Case
    Yangjinxi Ge, Donghai Wang, Zheng Yang, Junying Sun, Yu Jiang, Jiangli Zuo, Sunyi Yuan, Fengxian Wang · 2025 · 气象学报：英文版
73. Modality-Bridging for Automated Chain-of-Thought Construction in Meteorological Reasoning: A Study on WeatherQA
    Hang Cui, Jiqing Gu, Jing Peng, Tiejun Wang, Xi Wu · 2026 · Information
74. SEEPS4ALL: an open dataset for the verification of daily precipitation forecasts using station climate statistics
    Zied Ben Bouallègue, Ana Prieto Nemesio, Angela Iza Wong, Florian Pinault, Marlies van der Schee, Umberto Modigliani · 2026 · Earth system science data
75. Duo‐AttnOPNets: Advancing Global Operational Forecasting for Atmospheric Carbon Monoxide With AI‐Empowered 4D‐Var
    Judongyang Zhou, Fangxin Fang, Christopher C. Pain, Linfeng Li, Jie Zheng, Yanghua Wang, Ionel Michael Navon, Jiang Zhu · 2026 · Journal of Advances in Modeling Earth Systems
76. Physics-Informed Expert-Guided Framework for Multi-Source Satellite Precipitation Fusion with Uncertainty Quantification
    Zhiyang Fang, Bin Huang, Zongyuan Lu, Zihan Zou, Shaowei Ning, Jieru Yan, Yuliang Zhang, Lichang Xu, Yuliang Zhou, Bhesh Raj Thapa · 2026 · SSRN Electronic Journal
77. WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks
    Rajat C. Shinde, Ankur Kumar, Christopher E. Phillips, Aman Gupta, Simon Pfreundschuh, Sujit Roy, Sheyenne Kirkland, Vishal Gaur, Venkatesh Kolluru, Amy Lin et al. · 2026 · Scientific Data
78. A five-dimensional geometric uniformity framework for spherical diamond grids
    Yuanzheng Duan, Jiangmeng Li, Lei Shi, Chunbo Chen, Changwen Zheng · 2026 · Scientific Reports
79. Assessing Subseasonal Predictions of Stratosphere‐Troposphere Coupling of GraphCast
    Zheng Wu · 2026 · Journal of Geophysical Research Atmospheres
80. Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
    Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Yuyang Wang, Andrew M. Stuart, Michael W. Mahoney · 2026 · Data Science in Science
81. Uncertainty Analysis, Validation, and Benchmarking of AI Models in Earth Sciences
    Atul Kumar, Turobova Sevara, A.I. Ashirova, Muyassar R. Allaberganova, Gularam Masharipova, Abdullayev Abdulla Fayzulla Ugli, Nekboyev Xurshid Xoliyorovich · 2026 · Advances in computational intelligence and robotics book series
82. Latent space data assimilation by using deep learning
    Mathis Peyron · 2024 · theses.fr (ABES)
83. SCAF: Soft Cluster-Aware Fusion with Affinity Alignment for Multivariate Time Series Forecasting
    Xiao Liu, Weimin Li, Zhongming Han, Ruiqiang Guo · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
84. Generative Spatiotemporal Modeling for Uncertainty Quantification in High-Dimensional Physical Systems
    Fangzhou Liu, Chang Liu, Yuqi Li, Zhijiang Wang, Chuanguang Yang, Libo Huang, Zhulin An · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
85. CoastalBench-downscaling: a machine learning benchmark for reconstructing high-resolution three-dimensional coastal fields from surface data
    Bing Yuan, Johannes Ulrich Pein, Matthias Berg, Joanna V. Staneva · 2026 · Ocean Engineering
86. Mobility as climate change adaptation in South Africa: Exploring the legal and policy significance of artificial intelligence
    Temitope Ayomikum Obisanya, Ademola Oluborode Jegede · 2026 · Jàmbá Journal of Disaster Risk Studies
87. CRA5 a high-fidelity compressed reanalysis atmospheric dataset for weather and climate research
    Tao Han, Dazhao Du, Z Chen, Song Guo, Wanli Ouyang, Lei Bai · 2026 · Scientific Data
88. A data-driven framework for monthly hydrological modelling in regulated basins: application to the Jucar Hydrographic Confederation
    Alejandro Garcia-Monteagudo, M. Arnaldos, Miguel Ángel Pardo Picazo · 2026 · Sustainable Water Resources Management
89. TeleViT1.0: teleconnection-informed vision transformers for subseasonal to seasonal wildfire pattern forecasts
    Ioannis Prapas, Nikolas Papadopoulos, Nikolaos Ioannis Bountos, Dimitrios Michail, Gustau Camps‐Valls, Ioannis Papoutsis · 2026 · Machine Learning Earth
90. AI weather prediction toward multi-scale earth system prediction: status and pathways
    Jinglin Zhang, Qinghui Chen, Feng Zhang, Zeyi Niu, Zekai Zhang, Fenghua Ling, Bin Guo, Hailong Liu, Cong Bai, Gang Li et al. · 2026 · 中国科学通报：英文版
91. A comparative study on monthly precipitation forecasting using time-series foundation models in South Korea
    MinJi Song, YeonJi Chung, Ju‐Young Shin, Myoung‐Jin Um · 2026 · Engineering Applications of Artificial Intelligence
92. Seasonal forecast of sea surface temperatures via Neural ODEs
    Jonghan Lee, Woosok Moon, Yoo‐Geun Ham · 2026 · Machine Learning Earth
93. Ensemble‐Based Assimilation of Sounding Observations With AI Weather Models
    Huifeng Huang, Lili Lei, Zhe-Min Tan · 2026 · Geophysical Research Letters
94. Data-driven global ocean model resolving atmospherically forced ocean dynamics
    Jeong-Hwan Kim, Daehyun Kang, Young‐Min Yang, Jae‐Heung Park, Yoo‐Geun Ham · 2026 · Science Advances
95. Skillful regional NWP forecasts of tropical cyclones driven by fully AI-generated boundary conditions
    Hongxiong Xu, Hongyu Qu, Dajun Zhao, Qian Wang, H Z Wang, Lin Dong, Gaozhen Nie, Chunyi Xiang, X X Xu · 2026 · Environmental Research Letters
96. Enhancing Target Positioning With Space Surveillance Radar Using Transformer-Based Prediction of Atmospheric Refractivity
    Jie Yang, Dohyeon Lee, Min An, Yong Bae Park · 2026 · IEEE Transactions on Aerospace and Electronic Systems
97. Improving deterministic forecasts of maximum and minimum temperature using machine learning
    H. N. Singh, Anumeha Dube, Prashant K. Srivastava, Raghavendra Ashrit, John P. George, V. S. Prasad · 2026 · Environmental Science Advances
98. Threshold-Consistent Ordinal Evidence for Probabilistic Multi-Step Ocean Wind–Wave Risk Warning
    Siyu Ji, Hongguang Lyu, Stephen Law, Yong Yin, Xiaowei Gao · 2026 · SSRN Electronic Journal
99. An AI Training Dataset for Monitoring and Forecasting of Short-Duration Heavy Rainfall in China
    Na Liu, Wenming Xiao, Anyuan Xiong, Yujia Liu, Qiang Zhang, Yingrui Sun, Shuo Zhao, Zhongyan Hu · 2026 · 气象学报：英文版
100. Machine learning is revolutionizing weather forecasting - the next step is a change in how we work
     Peter Dominik Dueben, Péter Bauer, Oliver Fuhrer, Nikolay Koldunov, Jørn Kristiansen · 2026 · Journal of the European Meteorological Society.